Literature DB >> 22156018

Comprehensive evaluation of the impact of 14 genetic variants on colorectal cancer phenotype and risk.

Steven J Lubbe1, Maria Chiara Di Bernardo, Peter Broderick, Ian Chandler, Richard S Houlston.   

Abstract

To comprehensively evaluate the impact of recently identified colorectal cancer (CRC) variants at 1q41, 3q26.2, 8q23.3, 8q24.21, 10p14, 11q23.1, 12q13.13, 14q22.2, 15q13.3, 16q22.1, 18q21.1, 19q13.11, 20p12.3, and 20q13.33 on risk and CRC phenotype, the authors analyzed 8,878 cases and 6,051 controls from the United Kingdom ascertained in 1999-2007. The impact of variants on the familial CRC risk was enumerated from age-, sex-, and calendar-specific CRC rates in the 50,924 first-degree relatives of cases. Each of the 14 susceptibility loci independently influences CRC with the risk increasing with increasing number of risk alleles carried (per allele odds ratio = 1.13; P = 2.99 × 10(-58)) and, for those within the upper quintile, there is a 2.3-fold increased risk. In first-degree relatives of cases with ≤17, 18-21, and ≥22 risk alleles, standardized incidence ratios were 1.76, 2.08, and 2.25, respectively. Although the discriminatory attributes of the 14 CRC susceptibility loci for individual risk prediction are poor (area under the curve = 0.58), they may allow subgroups of the population at different CRC risks to be distinguished.

Entities:  

Mesh:

Year:  2011        PMID: 22156018     DOI: 10.1093/aje/kwr285

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  19 in total

1.  Association of 8q23-24 region (8q23.3 loci and 8q24.21 loci) with susceptibility to colorectal cancer: a systematic and updated meta-analysis.

Authors:  Linlin Li; Li Lv; Yuan Liang; Xiaoyu Shen; Shishi Zhou; Jia Zhu; Rui Ma
Journal:  Int J Clin Exp Med       Date:  2015-11-15

2.  Quantitative assessment of the influence of common variation rs16892766 at 8q23.3 with colorectal adenoma and cancer susceptibility.

Authors:  Ming Li; Yahong Gu
Journal:  Mol Genet Genomics       Date:  2014-10-08       Impact factor: 3.291

3.  Gene-environment interaction involving recently identified colorectal cancer susceptibility Loci.

Authors:  Elizabeth D Kantor; Carolyn M Hutter; Jessica Minnier; Sonja I Berndt; Hermann Brenner; Bette J Caan; Peter T Campbell; Christopher S Carlson; Graham Casey; Andrew T Chan; Jenny Chang-Claude; Stephen J Chanock; Michelle Cotterchio; Mengmeng Du; David Duggan; Charles S Fuchs; Edward L Giovannucci; Jian Gong; Tabitha A Harrison; Richard B Hayes; Brian E Henderson; Michael Hoffmeister; John L Hopper; Mark A Jenkins; Shuo Jiao; Laurence N Kolonel; Loic Le Marchand; Mathieu Lemire; Jing Ma; Polly A Newcomb; Heather M Ochs-Balcom; Bethann M Pflugeisen; John D Potter; Anja Rudolph; Robert E Schoen; Daniela Seminara; Martha L Slattery; Deanna L Stelling; Fridtjof Thomas; Mark Thornquist; Cornelia M Ulrich; Greg S Warnick; Brent W Zanke; Ulrike Peters; Li Hsu; Emily White
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-07-03       Impact factor: 4.254

4.  SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases.

Authors:  Shuo Jiao; Li Hsu; Stéphane Bézieau; Hermann Brenner; Andrew T Chan; Jenny Chang-Claude; Loic Le Marchand; Mathieu Lemire; Polly A Newcomb; Martha L Slattery; Ulrike Peters
Journal:  Genet Epidemiol       Date:  2013-05-29       Impact factor: 2.135

Review 5.  Quantifying the utility of single nucleotide polymorphisms to guide colorectal cancer screening.

Authors:  Mark A Jenkins; Enes Makalic; James G Dowty; Daniel F Schmidt; Gillian S Dite; Robert J MacInnis; Driss Ait Ouakrim; Mark Clendenning; Louisa B Flander; Oliver K Stanesby; John L Hopper; Aung K Win; Daniel D Buchanan
Journal:  Future Oncol       Date:  2016-02-01       Impact factor: 3.404

6.  Evaluating the predictive value of genetic risk score in colorectal cancer among Chinese Han population.

Authors:  Ding Ye; Danjie Jiang; Simeng Gu; Yingying Mao; Sangni Qian; Shujuan Lin; Qilong Li; Jinhua Yang; Kunhong Zhong; Mingjuan Jin; Kun Chen
Journal:  J Hum Genet       Date:  2019-12-19       Impact factor: 3.172

Review 7.  Risk Prediction Models for Colorectal Cancer: A Systematic Review.

Authors:  Juliet A Usher-Smith; Fiona M Walter; Jon D Emery; Aung K Win; Simon J Griffin
Journal:  Cancer Prev Res (Phila)       Date:  2015-10-13

8.  Replication study in Chinese population and meta-analysis supports association of the 11q23 locus with colorectal cancer.

Authors:  Li Zou; Rong Zhong; Jiao Lou; Xuzai Lu; Qi Wang; Yang Yang; Jiahong Xia; Juntao Ke; Ti Zhang; Yu Sun; Li Liu; Yongping Cui; Haibing Xiao; Lei Chang; Ding Xia; Hua Xu
Journal:  PLoS One       Date:  2012-09-18       Impact factor: 3.240

9.  The genetic variant on chromosome 10p14 is associated with risk of colorectal cancer: results from a case-control study and a meta-analysis.

Authors:  Qin Qin; Li Liu; Rong Zhong; Li Zou; Jieyun Yin; Beibei Zhu; Beibei Cao; Wei Chen; Jigui Chen; Xiaorong Li; Tingting Li; Xuzai Lu; Jiao Lou; Juntao Ke; Sheng Wei; Xiaoping Miao; Shaofa Nie
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

10.  A prospective study of duration of smoking cessation and colorectal cancer risk by epigenetics-related tumor classification.

Authors:  Reiko Nishihara; Teppei Morikawa; Aya Kuchiba; Paul Lochhead; Mai Yamauchi; Xiaoyun Liao; Yu Imamura; Katsuhiko Nosho; Kaori Shima; Ichiro Kawachi; Zhi Rong Qian; Charles S Fuchs; Andrew T Chan; Edward Giovannucci; Shuji Ogino
Journal:  Am J Epidemiol       Date:  2013-06-20       Impact factor: 4.897

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